Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	4449
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	524.3 B

Variable types

Numeric	8
Categorical	12

Warnings

`EmployeeCount` has constant value "1.0"	Constant
`JobLevel` is highly correlated with `MonthlyIncome`	High correlation
`MonthlyIncome` is highly correlated with `JobLevel`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome`	High correlation
`MonthlyIncome` is highly correlated with `JobLevel`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome`	High correlation
`MonthlyIncome` is highly correlated with `JobLevel`	High correlation
`JobLevel` is highly correlated with `MonthlyIncome` and 1 other fields	High correlation
`Department` is highly correlated with `JobRole` and 1 other fields	High correlation
`MonthlyIncome` is highly correlated with `JobLevel` and 1 other fields	High correlation
`JobRole` is highly correlated with `JobLevel` and 3 other fields	High correlation
`EducationField` is highly correlated with `Department` and 1 other fields	High correlation
`JobRole` is highly correlated with `JobLevel` and 2 other fields	High correlation
`JobSatisfaction` is highly correlated with `EmployeeCount`	High correlation
`JobInvolvement` is highly correlated with `EmployeeCount`	High correlation
`JobLevel` is highly correlated with `JobRole` and 1 other fields	High correlation
`Department` is highly correlated with `JobRole` and 2 other fields	High correlation
`BusinessTravel` is highly correlated with `EmployeeCount`	High correlation
`EmployeeCount` is highly correlated with `JobRole` and 10 other fields	High correlation
`MaritalStatus` is highly correlated with `EmployeeCount`	High correlation
`EnvironmentSatisfaction` is highly correlated with `EmployeeCount`	High correlation
`Gender` is highly correlated with `EmployeeCount`	High correlation
`Education` is highly correlated with `EmployeeCount`	High correlation
`EducationField` is highly correlated with `Department` and 1 other fields	High correlation
`EmployeeNumber` has unique values	Unique
`NumCompaniesWorked` has 584 (13.1%) zeros	Zeros

Reproduction

Analysis started	2021-07-24 07:12:23.240657
Analysis finished	2021-07-24 07:13:28.621887
Duration	1 minute and 5.38 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

EmployeeNumber
Real number (ℝ_≥0)

UNIQUE

Distinct	4449
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7956.865588

Minimum	1
Maximum	100146
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	1
5-th percentile	340.4
Q1	1735
median	5902
Q3	7014
95-th percentile	7903.6
Maximum	100146
Range	100145
Interquartile range (IQR)	5279

Descriptive statistics

Standard deviation	17226.92233
Coefficient of variation (CV)	2.165038751
Kurtosis	24.06146701
Mean	7956.865588
Median Absolute Deviation (MAD)	1323
Skewness	5.034460925
Sum	35400095
Variance	296766853.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
7553	1	< 0.1%
5516	1	< 0.1%
7026	1	< 0.1%
7561	1	< 0.1%
5512	1	< 0.1%
7557	1	< 0.1%
5508	1	< 0.1%
5504	1	< 0.1%
7537	1	< 0.1%
Other values (4439)	4439	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
14	1	< 0.1%
15	1	< 0.1%
16	1	< 0.1%
18	1	< 0.1%

Value	Count	Frequency (%)
100146	1	< 0.1%
100145	1	< 0.1%
100144	1	< 0.1%
100143	1	< 0.1%
100142	1	< 0.1%
100141	1	< 0.1%
100140	1	< 0.1%
100139	1	< 0.1%
100138	1	< 0.1%
100137	1	< 0.1%

Age
Real number (ℝ_≥0)

Distinct	179
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	416.1874579

Minimum	18
Maximum	9890
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	18
5-th percentile	24
Q1	31
median	36
Q3	45
95-th percentile	3437
Maximum	9890
Range	9872
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	1566.205147
Coefficient of variation (CV)	3.763220437
Kurtosis	18.97471698
Mean	416.1874579
Median Absolute Deviation (MAD)	7
Skewness	4.403735101
Sum	1851618
Variance	2452998.562
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
34	223	5.0%
35	223	5.0%
29	194	4.4%
36	191	4.3%
31	190	4.3%
38	177	4.0%
32	170	3.8%
33	169	3.8%
40	167	3.8%
30	164	3.7%
Other values (169)	2581	58.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18	19	0.4%
19	24	0.5%
20	32	0.7%
21	43	1.0%
22	53	1.2%
23	38	0.9%
24	71	1.6%
25	76	1.7%
26	109	2.4%
27	139	3.1%

Value	Count	Frequency (%)
9890	2	< 0.1%
9866	3	0.1%
9661	3	0.1%
9612	3	0.1%
9581	3	0.1%
9531	3	0.1%
9529	2	< 0.1%
9384	2	< 0.1%
9330	3	0.1%
9243	2	< 0.1%

BusinessTravel
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	306.2 KiB

Travel_Rarely	3147
Travel_Frequently	843
Non-Travel	459

Length

Max length	17
Median length	13
Mean length	13.44841537
Min length	10

Characters and Unicode

Total characters	59832
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Travel_Rarely
2nd row	Travel_Rarely
3rd row	Travel_Rarely
4th row	Travel_Rarely
5th row	Travel_Rarely

Common Values

Value	Count	Frequency (%)
Travel_Rarely	3147	70.7%
Travel_Frequently	843	18.9%
Non-Travel	459	10.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
travel_rarely	3147	70.7%
travel_frequently	843	18.9%
non-travel	459	10.3%

Most occurring characters

Value	Count	Frequency (%)
e	9282	15.5%
r	8439	14.1%
l	8439	14.1%
a	7596	12.7%
T	4449	7.4%
v	4449	7.4%
_	3990	6.7%
y	3990	6.7%
R	3147	5.3%
n	1302	2.2%
Other values (7)	4749	7.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46485	77.7%
Uppercase Letter	8898	14.9%
Connector Punctuation	3990	6.7%
Dash Punctuation	459	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9282	20.0%
r	8439	18.2%
l	8439	18.2%
a	7596	16.3%
v	4449	9.6%
y	3990	8.6%
n	1302	2.8%
q	843	1.8%
u	843	1.8%
t	843	1.8%

Uppercase Letter

Value	Count	Frequency (%)
T	4449	50.0%
R	3147	35.4%
F	843	9.5%
N	459	5.2%

Connector Punctuation

Value	Count	Frequency (%)
_	3990	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	459	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55383	92.6%
Common	4449	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9282	16.8%
r	8439	15.2%
l	8439	15.2%
a	7596	13.7%
T	4449	8.0%
v	4449	8.0%
y	3990	7.2%
R	3147	5.7%
n	1302	2.4%
F	843	1.5%
Other values (5)	3447	6.2%

Common

Value	Count	Frequency (%)
_	3990	89.7%
-	459	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59832	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9282	15.5%
r	8439	14.1%
l	8439	14.1%
a	7596	12.7%
T	4449	7.4%
v	4449	7.4%
_	3990	6.7%
y	3990	6.7%
R	3147	5.3%
n	1302	2.2%
Other values (7)	4749	7.9%

DailyRate
Real number (ℝ_≥0)

Distinct	886
Distinct (%)	19.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	801.0179816

Minimum	102
Maximum	1499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	102
5-th percentile	167
Q1	458
median	804
Q3	1162
95-th percentile	1424.2
Maximum	1499
Range	1397
Interquartile range (IQR)	704

Descriptive statistics

Standard deviation	405.605362
Coefficient of variation (CV)	0.506362368
Kurtosis	-1.229222404
Mean	801.0179816
Median Absolute Deviation (MAD)	353
Skewness	-0.00151943967
Sum	3563729
Variance	164515.7097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
691	17	0.4%
530	16	0.4%
1329	16	0.4%
1146	16	0.4%
1082	16	0.4%
329	16	0.4%
430	15	0.3%
1283	15	0.3%
350	14	0.3%
1157	13	0.3%
Other values (876)	4295	96.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
102	2	< 0.1%
103	4	0.1%
104	3	0.1%
105	2	< 0.1%
106	2	< 0.1%
107	2	< 0.1%
109	4	0.1%
111	7	0.2%
115	3	0.1%
116	7	0.2%

Value	Count	Frequency (%)
1499	3	0.1%
1498	3	0.1%
1496	6	0.1%
1495	10	0.2%
1492	3	0.1%
1490	13	0.3%
1488	3	0.1%
1485	9	0.2%
1482	3	0.1%
1480	7	0.2%

Department
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	319.7 KiB

Research & Development	2916
Sales	1345
Human Resources	188

Length

Max length	22
Median length	22
Mean length	16.56484603
Min length	5

Characters and Unicode

Total characters	73697
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Research & Development
2nd row	Research & Development
3rd row	Research & Development
4th row	Research & Development
5th row	Research & Development

Common Values

Value	Count	Frequency (%)
Research & Development	2916	65.5%
Sales	1345	30.2%
Human Resources	188	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	2916	27.9%
development	2916	27.9%
research	2916	27.9%
sales	1345	12.8%
resources	188	1.8%
human	188	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	16301	22.1%
	6020	8.2%
s	4637	6.3%
a	4449	6.0%
l	4261	5.8%
R	3104	4.2%
r	3104	4.2%
c	3104	4.2%
o	3104	4.2%
m	3104	4.2%
Other values (10)	22509	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	57208	77.6%
Uppercase Letter	7553	10.2%
Space Separator	6020	8.2%
Other Punctuation	2916	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	16301	28.5%
s	4637	8.1%
a	4449	7.8%
l	4261	7.4%
r	3104	5.4%
c	3104	5.4%
o	3104	5.4%
m	3104	5.4%
n	3104	5.4%
h	2916	5.1%
Other values (4)	9124	15.9%

Uppercase Letter

Value	Count	Frequency (%)
R	3104	41.1%
D	2916	38.6%
S	1345	17.8%
H	188	2.5%

Space Separator

Value	Count	Frequency (%)
	6020	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	2916	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64761	87.9%
Common	8936	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	16301	25.2%
s	4637	7.2%
a	4449	6.9%
l	4261	6.6%
R	3104	4.8%
r	3104	4.8%
c	3104	4.8%
o	3104	4.8%
m	3104	4.8%
n	3104	4.8%
Other values (8)	16489	25.5%

Common

Value	Count	Frequency (%)
	6020	67.4%
&	2916	32.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	73697	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	16301	22.1%
	6020	8.2%
s	4637	6.3%
a	4449	6.0%
l	4261	5.8%
R	3104	4.2%
r	3104	4.2%
c	3104	4.2%
o	3104	4.2%
m	3104	4.2%
Other values (10)	22509	30.5%

DistanceFromHome
Real number (ℝ_≥0)

Distinct	158
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33339.43336

Minimum	1
Maximum	999590
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	8
Q3	17
95-th percentile	253620
Maximum	999590
Range	999589
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	145352.1314
Coefficient of variation (CV)	4.359766103
Kurtosis	22.76712052
Mean	33339.43336
Median Absolute Deviation (MAD)	6
Skewness	4.765374175
Sum	148327139
Variance	2.112724211 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	612	13.8%
1	582	13.1%
10	249	5.6%
3	237	5.3%
9	233	5.2%
7	233	5.2%
8	231	5.2%
5	182	4.1%
4	169	3.8%
6	160	3.6%
Other values (148)	1561	35.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	582	13.1%
2	612	13.8%
3	237	5.3%
4	169	3.8%
5	182	4.1%
6	160	3.6%
7	233	5.2%
8	231	5.2%
9	233	5.2%
10	249	5.6%

Value	Count	Frequency (%)
999590	3	0.1%
997422	2	< 0.1%
993161	3	0.1%
992947	2	< 0.1%
975446	3	0.1%
971787	2	< 0.1%
968203	2	< 0.1%
963929	1	< 0.1%
946786	3	0.1%
934448	3	0.1%

Education
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

3.0	1739
4.0	1196
2.0	847
1.0	521
5.0	146

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
3.0	1739	39.1%
4.0	1196	26.9%
2.0	847	19.0%
1.0	521	11.7%
5.0	146	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	1739	39.1%
4.0	1196	26.9%
2.0	847	19.0%
1.0	521	11.7%
5.0	146	3.3%

Most occurring characters

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1739	13.0%
4	1196	9.0%
2	847	6.3%
1	521	3.9%
5	146	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4449	50.0%
3	1739	19.5%
4	1196	13.4%
2	847	9.5%
1	521	5.9%
5	146	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1739	13.0%
4	1196	9.0%
2	847	6.3%
1	521	3.9%
5	146	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1739	13.0%
4	1196	9.0%
2	847	6.3%
1	521	3.9%
5	146	1.1%

EducationField
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	293.5 KiB

Life Sciences	1823
Medical	1400
Marketing	486
Technical Degree	404
Other	254

Length

Max length	16
Median length	13
Mean length	10.52753428
Min length	5

Characters and Unicode

Total characters	46837
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Life Sciences
2nd row	Medical
3rd row	Other
4th row	Life Sciences
5th row	Other

Common Values

Value	Count	Frequency (%)
Life Sciences	1823	41.0%
Medical	1400	31.5%
Marketing	486	10.9%
Technical Degree	404	9.1%
Other	254	5.7%
Human Resources	82	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sciences	1823	27.0%
life	1823	27.0%
medical	1400	20.7%
marketing	486	7.2%
technical	404	6.0%
degree	404	6.0%
other	254	3.8%
resources	82	1.2%
human	82	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	9389	20.0%
i	5936	12.7%
c	5936	12.7%
n	2795	6.0%
a	2372	5.1%
	2309	4.9%
s	1987	4.2%
M	1886	4.0%
L	1823	3.9%
f	1823	3.9%
Other values (16)	10581	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37770	80.6%
Uppercase Letter	6758	14.4%
Space Separator	2309	4.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9389	24.9%
i	5936	15.7%
c	5936	15.7%
n	2795	7.4%
a	2372	6.3%
s	1987	5.3%
f	1823	4.8%
l	1804	4.8%
d	1400	3.7%
r	1226	3.2%
Other values (7)	3102	8.2%

Uppercase Letter

Value	Count	Frequency (%)
M	1886	27.9%
L	1823	27.0%
S	1823	27.0%
T	404	6.0%
D	404	6.0%
O	254	3.8%
H	82	1.2%
R	82	1.2%

Space Separator

Value	Count	Frequency (%)
	2309	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44528	95.1%
Common	2309	4.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9389	21.1%
i	5936	13.3%
c	5936	13.3%
n	2795	6.3%
a	2372	5.3%
s	1987	4.5%
M	1886	4.2%
L	1823	4.1%
f	1823	4.1%
S	1823	4.1%
Other values (15)	8758	19.7%

Common

Value	Count	Frequency (%)
	2309	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46837	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9389	20.0%
i	5936	12.7%
c	5936	12.7%
n	2795	6.0%
a	2372	5.1%
	2309	4.9%
s	1987	4.2%
M	1886	4.0%
L	1823	3.9%
f	1823	3.9%
Other values (16)	10581	22.6%

EmployeeCount
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

1.0	4449

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4449	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	4449	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	4449	33.3%
.	4449	33.3%
0	4449	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4449	50.0%
0	4449	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4449	33.3%
.	4449	33.3%
0	4449	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4449	33.3%
.	4449	33.3%
0	4449	33.3%

EnvironmentSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

3.0	1404
4.0	1335
1.0	874
2.0	836

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	4.0
3rd row	3.0
4th row	4.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	1404	31.6%
4.0	1335	30.0%
1.0	874	19.6%
2.0	836	18.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	1404	31.6%
4.0	1335	30.0%
1.0	874	19.6%
2.0	836	18.8%

Most occurring characters

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1404	10.5%
4	1335	10.0%
1	874	6.5%
2	836	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4449	50.0%
3	1404	15.8%
4	1335	15.0%
1	874	9.8%
2	836	9.4%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1404	10.5%
4	1335	10.0%
1	874	6.5%
2	836	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	1404	10.5%
4	1335	10.0%
1	874	6.5%
2	836	6.3%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	268.6 KiB

Male	2681
Female	1768

Length

Max length	6
Median length	4
Mean length	4.794785345
Min length	4

Characters and Unicode

Total characters	21332
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Female
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	2681	60.3%
Female	1768	39.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	2681	60.3%
female	1768	39.7%

Most occurring characters

Value	Count	Frequency (%)
e	6217	29.1%
a	4449	20.9%
l	4449	20.9%
M	2681	12.6%
F	1768	8.3%
m	1768	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16883	79.1%
Uppercase Letter	4449	20.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6217	36.8%
a	4449	26.4%
l	4449	26.4%
m	1768	10.5%

Uppercase Letter

Value	Count	Frequency (%)
M	2681	60.3%
F	1768	39.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21332	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6217	29.1%
a	4449	20.9%
l	4449	20.9%
M	2681	12.6%
F	1768	8.3%
m	1768	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21332	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6217	29.1%
a	4449	20.9%
l	4449	20.9%
M	2681	12.6%
F	1768	8.3%
m	1768	8.3%

HourlyRate
Real number (ℝ_≥0)

Distinct	71
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.9770735

Minimum	30
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	30
5-th percentile	33
Q1	48
median	66
Q3	84
95-th percentile	97
Maximum	100
Range	70
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	20.27736883
Coefficient of variation (CV)	0.3073396219
Kurtosis	-1.188254627
Mean	65.9770735
Median Absolute Deviation (MAD)	18
Skewness	-0.02684638745
Sum	293532
Variance	411.1716865
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98	89	2.0%
48	86	1.9%
66	85	1.9%
52	84	1.9%
57	83	1.9%
56	83	1.9%
84	82	1.8%
96	81	1.8%
79	81	1.8%
54	80	1.8%
Other values (61)	3615	81.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
30	57	1.3%
31	46	1.0%
32	71	1.6%
33	54	1.2%
34	36	0.8%
35	47	1.1%
36	55	1.2%
37	53	1.2%
38	41	0.9%
39	54	1.2%

Value	Count	Frequency (%)
100	59	1.3%
99	60	1.3%
98	89	2.0%
97	63	1.4%
96	81	1.8%
95	72	1.6%
94	70	1.6%
93	51	1.1%
92	77	1.7%
91	51	1.1%

JobInvolvement
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

3.0	2629
2.0	1119
4.0	454
1.0	247

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	2629	59.1%
2.0	1119	25.2%
4.0	454	10.2%
1.0	247	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	2629	59.1%
2.0	1119	25.2%
4.0	454	10.2%
1.0	247	5.6%

Most occurring characters

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	2629	19.7%
2	1119	8.4%
4	454	3.4%
1	247	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4449	50.0%
3	2629	29.5%
2	1119	12.6%
4	454	5.1%
1	247	2.8%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	2629	19.7%
2	1119	8.4%
4	454	3.4%
1	247	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
3	2629	19.7%
2	1119	8.4%
4	454	3.4%
1	247	1.9%

JobLevel
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

1.0	1666
2.0	1606
3.0	650
4.0	327
5.0	200

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	3.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1666	37.4%
2.0	1606	36.1%
3.0	650	14.6%
4.0	327	7.3%
5.0	200	4.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1666	37.4%
2.0	1606	36.1%
3.0	650	14.6%
4.0	327	7.3%
5.0	200	4.5%

Most occurring characters

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
1	1666	12.5%
2	1606	12.0%
3	650	4.9%
4	327	2.4%
5	200	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4449	50.0%
1	1666	18.7%
2	1606	18.0%
3	650	7.3%
4	327	3.7%
5	200	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
1	1666	12.5%
2	1606	12.0%
3	650	4.9%
4	327	2.4%
5	200	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
1	1666	12.5%
2	1606	12.0%
3	650	4.9%
4	327	2.4%
5	200	1.5%

JobRole
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	326.4 KiB

Sales Executive	983
Research Scientist	913
Laboratory Technician	781
Manufacturing Director	430
Healthcare Representative	397
Other values (4)	945

Length

Max length	25
Median length	18
Mean length	18.09125646
Min length	7

Characters and Unicode

Total characters	80488
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Laboratory Technician
2nd row	Manufacturing Director
3rd row	Research Scientist
4th row	Research Scientist
5th row	Laboratory Technician

Common Values

Value	Count	Frequency (%)
Sales Executive	983	22.1%
Research Scientist	913	20.5%
Laboratory Technician	781	17.6%
Manufacturing Director	430	9.7%
Healthcare Representative	397	8.9%
Manager	299	6.7%
Sales Representative	252	5.7%
Research Director	240	5.4%
Human Resources	154	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
sales	1235	14.4%
research	1153	13.4%
executive	983	11.4%
scientist	913	10.6%
laboratory	781	9.1%
technician	781	9.1%
director	670	7.8%
representative	649	7.5%
manufacturing	430	5.0%
healthcare	397	4.6%
Other values (3)	607	7.1%

Most occurring characters

Value	Count	Frequency (%)
e	11868	14.7%
a	7786	9.7%
t	6385	7.9%
c	6262	7.8%
i	6120	7.6%
r	5984	7.4%
n	4437	5.5%
s	4258	5.3%
	4150	5.2%
o	2386	3.0%
Other values (19)	20852	25.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	67739	84.2%
Uppercase Letter	8599	10.7%
Space Separator	4150	5.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11868	17.5%
a	7786	11.5%
t	6385	9.4%
c	6262	9.2%
i	6120	9.0%
r	5984	8.8%
n	4437	6.6%
s	4258	6.3%
o	2386	3.5%
h	2331	3.4%
Other values (10)	9922	14.6%

Uppercase Letter

Value	Count	Frequency (%)
S	2148	25.0%
R	1956	22.7%
E	983	11.4%
L	781	9.1%
T	781	9.1%
M	729	8.5%
D	670	7.8%
H	551	6.4%

Space Separator

Value	Count	Frequency (%)
	4150	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	76338	94.8%
Common	4150	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11868	15.5%
a	7786	10.2%
t	6385	8.4%
c	6262	8.2%
i	6120	8.0%
r	5984	7.8%
n	4437	5.8%
s	4258	5.6%
o	2386	3.1%
h	2331	3.1%
Other values (18)	18521	24.3%

Common

Value	Count	Frequency (%)
	4150	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	11868	14.7%
a	7786	9.7%
t	6385	7.9%
c	6262	7.8%
i	6120	7.6%
r	5984	7.4%
n	4437	5.5%
s	4258	5.3%
	4150	5.2%
o	2386	3.0%
Other values (19)	20852	25.9%

JobSatisfaction
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	260.8 KiB

4.0	1395
3.0	1324
1.0	889
2.0	841

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	13347
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	3.0
3rd row	2.0
4th row	4.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
4.0	1395	31.4%
3.0	1324	29.8%
1.0	889	20.0%
2.0	841	18.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4.0	1395	31.4%
3.0	1324	29.8%
1.0	889	20.0%
2.0	841	18.9%

Most occurring characters

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
4	1395	10.5%
3	1324	9.9%
1	889	6.7%
2	841	6.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8898	66.7%
Other Punctuation	4449	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	4449	50.0%
4	1395	15.7%
3	1324	14.9%
1	889	10.0%
2	841	9.5%

Other Punctuation

Value	Count	Frequency (%)
.	4449	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13347	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
4	1395	10.5%
3	1324	9.9%
1	889	6.7%
2	841	6.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13347	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4449	33.3%
0	4449	33.3%
4	1395	10.5%
3	1324	9.9%
1	889	6.7%
2	841	6.3%

MaritalStatus
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	277.7 KiB

Married	2074
Single	1430
Divorced	945

Length

Max length	8
Median length	7
Mean length	6.890986739
Min length	6

Characters and Unicode

Total characters	30658
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Married
2nd row	Married
3rd row	Married
4th row	Single
5th row	Divorced

Common Values

Value	Count	Frequency (%)
Married	2074	46.6%
Single	1430	32.1%
Divorced	945	21.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
married	2074	46.6%
single	1430	32.1%
divorced	945	21.2%

Most occurring characters

Value	Count	Frequency (%)
r	5093	16.6%
i	4449	14.5%
e	4449	14.5%
d	3019	9.8%
M	2074	6.8%
a	2074	6.8%
S	1430	4.7%
n	1430	4.7%
g	1430	4.7%
l	1430	4.7%
Other values (4)	3780	12.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26209	85.5%
Uppercase Letter	4449	14.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5093	19.4%
i	4449	17.0%
e	4449	17.0%
d	3019	11.5%
a	2074	7.9%
n	1430	5.5%
g	1430	5.5%
l	1430	5.5%
v	945	3.6%
o	945	3.6%

Uppercase Letter

Value	Count	Frequency (%)
M	2074	46.6%
S	1430	32.1%
D	945	21.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30658	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5093	16.6%
i	4449	14.5%
e	4449	14.5%
d	3019	9.8%
M	2074	6.8%
a	2074	6.8%
S	1430	4.7%
n	1430	4.7%
g	1430	4.7%
l	1430	4.7%
Other values (4)	3780	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30658	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5093	16.6%
i	4449	14.5%
e	4449	14.5%
d	3019	9.8%
M	2074	6.8%
a	2074	6.8%
S	1430	4.7%
n	1430	4.7%
g	1430	4.7%
l	1430	4.7%
Other values (4)	3780	12.3%

MonthlyIncome
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1349
Distinct (%)	30.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6468.496067

Minimum	1009
Maximum	19999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	1009
5-th percentile	2096
Q1	2899
median	4876
Q3	8346
95-th percentile	17639
Maximum	19999
Range	18990
Interquartile range (IQR)	5447

Descriptive statistics

Standard deviation	4682.905422
Coefficient of variation (CV)	0.7239558274
Kurtosis	1.020613207
Mean	6468.496067
Median Absolute Deviation (MAD)	2160
Skewness	1.373170909
Sum	28778339
Variance	21929603.19
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2342	14	0.3%
2380	12	0.3%
2610	12	0.3%
2741	10	0.2%
2404	10	0.2%
6347	9	0.2%
3452	9	0.2%
2886	8	0.2%
17328	8	0.2%
2028	8	0.2%
Other values (1339)	4349	97.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1009	3	0.1%
1051	2	< 0.1%
1052	2	< 0.1%
1081	4	0.1%
1091	4	0.1%
1102	3	0.1%
1118	4	0.1%
1129	4	0.1%
1200	2	< 0.1%
1223	3	0.1%

Value	Count	Frequency (%)
19999	2	< 0.1%
19973	3	0.1%
19943	2	< 0.1%
19926	2	< 0.1%
19859	3	0.1%
19847	2	< 0.1%
19845	4	0.1%
19833	2	< 0.1%
19740	4	0.1%
19717	2	< 0.1%

MonthlyRate
Real number (ℝ_≥0)

Distinct	1427
Distinct (%)	32.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14276.1969

Minimum	2094
Maximum	26999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	2094
5-th percentile	3339
Q1	7973
median	14218
Q3	20471
95-th percentile	25470
Maximum	26999
Range	24905
Interquartile range (IQR)	12498

Descriptive statistics

Standard deviation	7149.079135
Coefficient of variation (CV)	0.5007691604
Kurtosis	-1.224131562
Mean	14276.1969
Median Absolute Deviation (MAD)	6253
Skewness	0.02242348066
Sum	63514800
Variance	51109332.48
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4223	12	0.3%
12355	8	0.2%
3339	8	0.2%
9558	8	0.2%
10494	8	0.2%
5355	8	0.2%
9150	8	0.2%
7324	8	0.2%
13008	8	0.2%
6881	8	0.2%
Other values (1417)	4365	98.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2094	3	0.1%
2097	2	< 0.1%
2104	4	0.1%
2112	4	0.1%
2122	4	0.1%
2125	5	0.1%
2137	2	< 0.1%
2227	4	0.1%
2243	2	< 0.1%
2253	2	< 0.1%

Value	Count	Frequency (%)
26999	3	0.1%
26997	2	< 0.1%
26968	2	< 0.1%
26959	4	0.1%
26956	2	< 0.1%
26933	3	0.1%
26914	4	0.1%
26897	4	0.1%
26894	3	0.1%
26862	2	< 0.1%

NumCompaniesWorked
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.681726231

Minimum	0
Maximum	9
Zeros	584
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	34.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.487076504
Coefficient of variation (CV)	0.9274162574
Kurtosis	0.04224673701
Mean	2.681726231
Median Absolute Deviation (MAD)	1
Skewness	1.040597771
Sum	11931
Variance	6.185549537
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	1594	35.8%
0	584	13.1%
3	493	11.1%
2	449	10.1%
4	403	9.1%
7	228	5.1%
6	209	4.7%
5	190	4.3%
9	156	3.5%
8	143	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	584	13.1%
1	1594	35.8%
2	449	10.1%
3	493	11.1%
4	403	9.1%
5	190	4.3%
6	209	4.7%
7	228	5.1%
8	143	3.2%
9	156	3.5%

Value	Count	Frequency (%)
9	156	3.5%
8	143	3.2%
7	228	5.1%
6	209	4.7%
5	190	4.3%
4	403	9.1%
3	493	11.1%
2	449	10.1%
1	1594	35.8%
0	584	13.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	EmployeeNumber	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeCount	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked
0	104	30.0	Travel_Rarely	852.0	Research & Development	1.0	1.0	Life Sciences	1.0	4.0	Male	55.0	2.0	2.0	Laboratory Technician	4.0	Married	5126.0	15998.0	1.0
1	1638	38.0	Travel_Rarely	397.0	Research & Development	2.0	2.0	Medical	1.0	4.0	Female	54.0	2.0	3.0	Manufacturing Director	3.0	Married	7756.0	14199.0	3.0
2	164	26.0	Travel_Rarely	841.0	Research & Development	6.0	3.0	Other	1.0	3.0	Female	46.0	2.0	1.0	Research Scientist	2.0	Married	2368.0	23300.0	1.0
3	395	28.0	Travel_Rarely	1117.0	Research & Development	8.0	2.0	Life Sciences	1.0	4.0	Female	66.0	3.0	1.0	Research Scientist	4.0	Single	3310.0	4488.0	1.0
4	53	35.0	Travel_Rarely	464.0	Research & Development	4.0	2.0	Other	1.0	3.0	Male	75.0	3.0	1.0	Laboratory Technician	4.0	Divorced	1951.0	10910.0	1.0
5	1467	34.0	Travel_Rarely	1107.0	Human Resources	9.0	4.0	Technical Degree	1.0	1.0	Female	52.0	3.0	1.0	Human Resources	3.0	Married	2742.0	3072.0	1.0
6	727	32.0	Travel_Rarely	1018.0	Research & Development	3.0	2.0	Life Sciences	1.0	3.0	Female	39.0	3.0	3.0	Research Director	4.0	Single	11159.0	19373.0	3.0
7	351	42.0	Travel_Rarely	269.0	Research & Development	2.0	3.0	Medical	1.0	4.0	Female	56.0	2.0	1.0	Laboratory Technician	1.0	Divorced	2593.0	8007.0	0.0
8	555	34.0	Travel_Frequently	296.0	Sales	6.0	2.0	Marketing	1.0	4.0	Female	33.0	1.0	1.0	Sales Representative	3.0	Divorced	2351.0	12253.0	0.0
9	253	40.0	Travel_Rarely	989.0	Research & Development	4.0	1.0	Medical	1.0	4.0	Female	46.0	3.0	5.0	Manager	3.0	Married	19033.0	6499.0	1.0

Last rows

	EmployeeNumber	Age	BusinessTravel	DailyRate	Department	DistanceFromHome	Education	EducationField	EmployeeCount	EnvironmentSatisfaction	Gender	HourlyRate	JobInvolvement	JobLevel	JobRole	JobSatisfaction	MaritalStatus	MonthlyIncome	MonthlyRate	NumCompaniesWorked
4439	7970	41.0	Travel_Rarely	582.0	Research & Development	28.0	4.0	Life Sciences	1.0	1.0	Female	60.0	2.0	4.0	Manufacturing Director	2.0	Married	13570.0	5640.0	0.0
4440	7971	42.0	Travel_Rarely	1396.0	Research & Development	6.0	3.0	Medical	1.0	3.0	Male	83.0	3.0	3.0	Research Director	1.0	Married	13348.0	14842.0	9.0
4441	7972	42.0	Travel_Rarely	1396.0	Research & Development	6.0	3.0	Medical	1.0	3.0	Male	83.0	3.0	3.0	Research Director	1.0	Married	13348.0	14842.0	9.0
4442	7973	42.0	Travel_Rarely	1396.0	Research & Development	6.0	3.0	Medical	1.0	3.0	Male	83.0	3.0	3.0	Research Director	1.0	Married	13348.0	14842.0	9.0
4443	7974	8823.0	Travel_Rarely	621.0	Research & Development	15.0	3.0	Medical	1.0	1.0	Female	73.0	3.0	3.0	Healthcare Representative	4.0	Married	7978.0	14075.0	1.0
4444	7975	8823.0	Travel_Rarely	621.0	Research & Development	15.0	3.0	Medical	1.0	1.0	Female	73.0	3.0	3.0	Healthcare Representative	4.0	Married	7978.0	14075.0	1.0
4445	7976	8823.0	Travel_Rarely	621.0	Research & Development	15.0	3.0	Medical	1.0	1.0	Female	73.0	3.0	3.0	Healthcare Representative	4.0	Married	7978.0	14075.0	1.0
4446	7977	44.0	Non-Travel	381.0	Research & Development	918785.0	3.0	Medical	1.0	1.0	Male	49.0	1.0	1.0	Laboratory Technician	3.0	Single	3708.0	2104.0	2.0
4447	7978	44.0	Non-Travel	381.0	Research & Development	918785.0	3.0	Medical	1.0	1.0	Male	49.0	1.0	1.0	Laboratory Technician	3.0	Single	3708.0	2104.0	2.0
4448	7979	44.0	Non-Travel	381.0	Research & Development	918785.0	3.0	Medical	1.0	1.0	Male	49.0	1.0	1.0	Laboratory Technician	3.0	Single	3708.0	2104.0	2.0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII